A general evolutionary algorithm and its property analysis

EP (evolutionary programming), ES (evolutionary strategy) and GA (genetic algorithm) are three approaches of optimization inspired by the natural evolution process; they are essentially much more in common in terms of computing models and algorithms. A general evolutionary algorithm is proposed and its convergence properties are analyzed. It is claimed that if there exist some quasi-stable states under a design strategy, the algorithm will definitely converge on one of those states.